{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 电动汽车销售价格分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#读取数据\n",
    "train_datas=pd.read_excel('./datas/train.xlsx')\n",
    "valid_datas=pd.read_excel('./datas/valid.xlsx')\n",
    "test_datas=pd.read_excel('./datas/test.xlsx')\n",
    "tag=pd.read_excel('./datas/tag.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据总览"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>feat1</th>\n",
       "      <th>feat2</th>\n",
       "      <th>feat3</th>\n",
       "      <th>feat4</th>\n",
       "      <th>feat5</th>\n",
       "      <th>feat6</th>\n",
       "      <th>feat7</th>\n",
       "      <th>feat8</th>\n",
       "      <th>feat9</th>\n",
       "      <th>...</th>\n",
       "      <th>feat12</th>\n",
       "      <th>feat13</th>\n",
       "      <th>feat14</th>\n",
       "      <th>feat15</th>\n",
       "      <th>feat16</th>\n",
       "      <th>feat17</th>\n",
       "      <th>feat18</th>\n",
       "      <th>feat19</th>\n",
       "      <th>feat20</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1512</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>54</td>\n",
       "      <td>0.4</td>\n",
       "      <td>134</td>\n",
       "      <td>...</td>\n",
       "      <td>220</td>\n",
       "      <td>1838</td>\n",
       "      <td>3366</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>614</td>\n",
       "      <td>0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>0.2</td>\n",
       "      <td>94</td>\n",
       "      <td>...</td>\n",
       "      <td>409</td>\n",
       "      <td>603</td>\n",
       "      <td>1930</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>553</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>0.5</td>\n",
       "      <td>119</td>\n",
       "      <td>...</td>\n",
       "      <td>993</td>\n",
       "      <td>1517</td>\n",
       "      <td>2981</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>718</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>0.8</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>518</td>\n",
       "      <td>830</td>\n",
       "      <td>1754</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1166</td>\n",
       "      <td>0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>0.8</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>205</td>\n",
       "      <td>603</td>\n",
       "      <td>3993</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  feat1  feat2  feat3  feat4  feat5  feat6  feat7  feat8  feat9  ...  \\\n",
       "0   1   1512      0    0.6      1      1      1     54    0.4    134  ...   \n",
       "1   2    614      0    2.9      1      3      1     24    0.2     94  ...   \n",
       "2   3    553      0    0.5      1      2      1     23    0.5    119  ...   \n",
       "3   4    718      0    0.7      1      0      1     21    0.8     88  ...   \n",
       "4   5   1166      0    1.5      1      0      1     43    0.8     80  ...   \n",
       "\n",
       "   feat12  feat13  feat14  feat15  feat16  feat17  feat18  feat19  feat20  \\\n",
       "0     220    1838    3366       7       3      11       1       0       1   \n",
       "1     409     603    1930      13      12       4       1       0       1   \n",
       "2     993    1517    2981       7       3      14       1       0       0   \n",
       "3     518     830    1754      17      11       9       1       0       1   \n",
       "4     205     603    3993       7       1       7       1       1       0   \n",
       "\n",
       "   price  \n",
       "0      3  \n",
       "1      1  \n",
       "2      2  \n",
       "3      1  \n",
       "4      3  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_datas.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1200 entries, 0 to 1199\n",
      "Data columns (total 22 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   id      1200 non-null   int64  \n",
      " 1   feat1   1200 non-null   int64  \n",
      " 2   feat2   1200 non-null   int64  \n",
      " 3   feat3   1200 non-null   float64\n",
      " 4   feat4   1200 non-null   int64  \n",
      " 5   feat5   1200 non-null   int64  \n",
      " 6   feat6   1200 non-null   int64  \n",
      " 7   feat7   1200 non-null   int64  \n",
      " 8   feat8   1200 non-null   float64\n",
      " 9   feat9   1200 non-null   int64  \n",
      " 10  feat10  1200 non-null   int64  \n",
      " 11  feat11  1200 non-null   int64  \n",
      " 12  feat12  1200 non-null   int64  \n",
      " 13  feat13  1200 non-null   int64  \n",
      " 14  feat14  1200 non-null   int64  \n",
      " 15  feat15  1200 non-null   int64  \n",
      " 16  feat16  1200 non-null   int64  \n",
      " 17  feat17  1200 non-null   int64  \n",
      " 18  feat18  1200 non-null   int64  \n",
      " 19  feat19  1200 non-null   int64  \n",
      " 20  feat20  1200 non-null   int64  \n",
      " 21  price   1200 non-null   int64  \n",
      "dtypes: float64(2), int64(20)\n",
      "memory usage: 206.4 KB\n"
     ]
    }
   ],
   "source": [
    "train_datas.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>feat1</th>\n",
       "      <th>feat2</th>\n",
       "      <th>feat3</th>\n",
       "      <th>feat4</th>\n",
       "      <th>feat5</th>\n",
       "      <th>feat6</th>\n",
       "      <th>feat7</th>\n",
       "      <th>feat8</th>\n",
       "      <th>feat9</th>\n",
       "      <th>...</th>\n",
       "      <th>feat12</th>\n",
       "      <th>feat13</th>\n",
       "      <th>feat14</th>\n",
       "      <th>feat15</th>\n",
       "      <th>feat16</th>\n",
       "      <th>feat17</th>\n",
       "      <th>feat18</th>\n",
       "      <th>feat19</th>\n",
       "      <th>feat20</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.00000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>600.500000</td>\n",
       "      <td>1245.685833</td>\n",
       "      <td>0.500833</td>\n",
       "      <td>1.52875</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>4.384167</td>\n",
       "      <td>0.523333</td>\n",
       "      <td>31.880000</td>\n",
       "      <td>0.508917</td>\n",
       "      <td>139.245000</td>\n",
       "      <td>...</td>\n",
       "      <td>629.710000</td>\n",
       "      <td>1238.626667</td>\n",
       "      <td>2132.968333</td>\n",
       "      <td>12.298333</td>\n",
       "      <td>5.725000</td>\n",
       "      <td>11.044167</td>\n",
       "      <td>0.755000</td>\n",
       "      <td>0.506667</td>\n",
       "      <td>0.508333</td>\n",
       "      <td>1.515000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>346.554469</td>\n",
       "      <td>438.928167</td>\n",
       "      <td>0.500208</td>\n",
       "      <td>0.81560</td>\n",
       "      <td>0.500206</td>\n",
       "      <td>4.383788</td>\n",
       "      <td>0.499663</td>\n",
       "      <td>18.156183</td>\n",
       "      <td>0.290199</td>\n",
       "      <td>35.124086</td>\n",
       "      <td>...</td>\n",
       "      <td>429.925912</td>\n",
       "      <td>435.599041</td>\n",
       "      <td>1089.627088</td>\n",
       "      <td>4.206631</td>\n",
       "      <td>4.314304</td>\n",
       "      <td>5.480016</td>\n",
       "      <td>0.430267</td>\n",
       "      <td>0.500164</td>\n",
       "      <td>0.500139</td>\n",
       "      <td>1.117653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>501.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.50000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>258.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>300.750000</td>\n",
       "      <td>863.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.70000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>284.750000</td>\n",
       "      <td>861.750000</td>\n",
       "      <td>1214.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>600.500000</td>\n",
       "      <td>1225.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.50000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>552.500000</td>\n",
       "      <td>1234.000000</td>\n",
       "      <td>2192.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>900.250000</td>\n",
       "      <td>1614.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.30000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>47.250000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>907.750000</td>\n",
       "      <td>1617.250000</td>\n",
       "      <td>3079.250000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1949.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>3998.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                id        feat1        feat2       feat3        feat4  \\\n",
       "count  1200.000000  1200.000000  1200.000000  1200.00000  1200.000000   \n",
       "mean    600.500000  1245.685833     0.500833     1.52875     0.498333   \n",
       "std     346.554469   438.928167     0.500208     0.81560     0.500206   \n",
       "min       1.000000   501.000000     0.000000     0.50000     0.000000   \n",
       "25%     300.750000   863.750000     0.000000     0.70000     0.000000   \n",
       "50%     600.500000  1225.000000     1.000000     1.50000     0.000000   \n",
       "75%     900.250000  1614.250000     1.000000     2.30000     1.000000   \n",
       "max    1200.000000  1997.000000     1.000000     3.00000     1.000000   \n",
       "\n",
       "             feat5        feat6        feat7        feat8        feat9  ...  \\\n",
       "count  1200.000000  1200.000000  1200.000000  1200.000000  1200.000000  ...   \n",
       "mean      4.384167     0.523333    31.880000     0.508917   139.245000  ...   \n",
       "std       4.383788     0.499663    18.156183     0.290199    35.124086  ...   \n",
       "min       0.000000     0.000000     2.000000     0.100000    80.000000  ...   \n",
       "25%       1.000000     0.000000    16.000000     0.200000   108.000000  ...   \n",
       "50%       3.000000     1.000000    32.000000     0.500000   139.000000  ...   \n",
       "75%       7.000000     1.000000    47.250000     0.800000   169.000000  ...   \n",
       "max      19.000000     1.000000    64.000000     1.000000   200.000000  ...   \n",
       "\n",
       "            feat12       feat13       feat14       feat15       feat16  \\\n",
       "count  1200.000000  1200.000000  1200.000000  1200.000000  1200.000000   \n",
       "mean    629.710000  1238.626667  2132.968333    12.298333     5.725000   \n",
       "std     429.925912   435.599041  1089.627088     4.206631     4.314304   \n",
       "min       1.000000   500.000000   258.000000     5.000000     0.000000   \n",
       "25%     284.750000   861.750000  1214.000000     9.000000     2.000000   \n",
       "50%     552.500000  1234.000000  2192.000000    12.000000     5.000000   \n",
       "75%     907.750000  1617.250000  3079.250000    16.000000     9.000000   \n",
       "max    1949.000000  1997.000000  3998.000000    19.000000    18.000000   \n",
       "\n",
       "            feat17       feat18       feat19       feat20        price  \n",
       "count  1200.000000  1200.000000  1200.000000  1200.000000  1200.000000  \n",
       "mean     11.044167     0.755000     0.506667     0.508333     1.515000  \n",
       "std       5.480016     0.430267     0.500164     0.500139     1.117653  \n",
       "min       2.000000     0.000000     0.000000     0.000000     0.000000  \n",
       "25%       6.000000     1.000000     0.000000     0.000000     1.000000  \n",
       "50%      11.000000     1.000000     1.000000     1.000000     2.000000  \n",
       "75%      16.000000     1.000000     1.000000     1.000000     3.000000  \n",
       "max      20.000000     1.000000     1.000000     1.000000     3.000000  \n",
       "\n",
       "[8 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_datas.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1008 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = train_datas.drop(\"id\",axis=1)\n",
    "x = df.iloc[:, :20].values #t样本特征\n",
    "y = df.iloc[:, 20].values #t样本结果\n",
    "def draw(df):#函数绘制各维特征的分布直方图。\n",
    "    df.hist(figsize=(16,14),bins=80)\n",
    "    plt.savefig(\"Plots.jpg\" ,dpi=300,pad_inches = 0)\n",
    "    plt.show()\n",
    "draw(df.iloc[:,0: 20])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'feat1': '电池可以一次性存储的总能量，单位为mAh',\n",
       " 'feat2': '是否有蓝牙',\n",
       " 'feat3': '微处理器执行指令的速度',\n",
       " 'feat4': '有双SIM卡支持与否',\n",
       " 'feat5': '前置摄像头百万像素',\n",
       " 'feat6': '是否支持4G',\n",
       " 'feat7': '内存（以GB为单位）',\n",
       " 'feat8': '移动深度（cm）',\n",
       " 'feat9': '重量',\n",
       " 'feat10': '处理器核心数',\n",
       " 'feat11': '主要相机百万像素',\n",
       " 'feat12': '像素分辨率高度',\n",
       " 'feat13': '像素分辨率宽度',\n",
       " 'feat14': '以兆字节为单位的随机存取存储器',\n",
       " 'feat15': '屏幕高度（以cm为单位）',\n",
       " 'feat16': '屏幕宽度（以cm为单位）',\n",
       " 'feat17': '单个电池充电时间最长的时间',\n",
       " 'feat18': '是否有3G',\n",
       " 'feat19': '是否有触摸屏',\n",
       " 'feat20': '是否有wifi',\n",
       " 'price': '价格分档，取值为0,1,2,3'}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat2name=dict()\n",
    "for index,row in tag.iterrows():\n",
    "    if(index==0):continue\n",
    "    feat2name[row['字段']]=row['字段说明']\n",
    "feat2name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x1584 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#相关性热力图\n",
    "corr_datas=train_datas.iloc[:,1:-1].corr()\n",
    "plt.figure(figsize=(22, 22))\n",
    "sns.heatmap(corr_datas,annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import  matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.model_selection import learning_curve\n",
    "from sklearn.model_selection import  validation_curve\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def double_plot(train_size,train_acc_mean,test_acc_mean,label):\n",
    "#-----------------------------------\n",
    "    plt.figure(figsize=(18, 6))\n",
    "    # 标题\n",
    "    plt.title(\"\")\n",
    "    # 数据\n",
    "    plt.plot(train_size, train_acc_mean, 'o-',color='r',label='Training')\n",
    "    plt.plot(train_size, test_acc_mean, 'o-',color='g',label='10k_Cross-validation')\n",
    "    # 横坐标描述\n",
    "    plt.xlabel('train_example',fontsize=16)\n",
    "    # 纵坐标描述\n",
    "    plt.ylabel(label,fontsize=16)\n",
    "    plt.xticks(fontsize=14)\n",
    "    plt.yticks(fontsize=14)\n",
    "    # 设置数字标签\n",
    "    for a, b in zip(train_size, train_acc_mean):\n",
    "        plt.text(a, b, b, ha='center', va='bottom', fontsize=12)\n",
    "\n",
    "    for a, b in zip(train_size, test_acc_mean):\n",
    "        plt.text(a, b, b, ha='center', va='bottom', fontsize=12)\n",
    "    plt.legend(loc='best')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征筛选"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#分离数据和标签\n",
    "y=train_datas.values[:,-1]\n",
    "x=train_datas.values[:,:-1]\n",
    "vy=valid_datas.values[:,-1]\n",
    "vx=valid_datas.values[:,:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1200, 21)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1200, 12), (300, 12))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#特征选择，选出12各与价格最相关的特征\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_selection import chi2\n",
    "newx=x\n",
    "newvx=vx\n",
    "sb=SelectKBest(chi2, k=12)\n",
    "newx=sb.fit_transform(x, y)\n",
    "newvx=sb.transform(newvx)\n",
    "newx.shape,newvx.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 按重要性排序，选出最重要的 k 个\n",
    "scores = sb.scores_\n",
    "indices = np.argsort(scores)[::-1]\n",
    "k_best_features = list(train_datas.drop(\"id\",axis=1).columns.values[indices[0:12]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['feat15',\n",
       " 'feat2',\n",
       " 'feat13',\n",
       " 'feat14',\n",
       " 'feat1',\n",
       " 'feat8',\n",
       " 'feat10',\n",
       " 'feat12',\n",
       " 'feat11',\n",
       " 'feat18',\n",
       " 'feat16',\n",
       " 'feat6']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_best_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.000e+00, 1.512e+03, 1.000e+00, ..., 3.366e+03, 7.000e+00,\n",
       "        1.100e+01],\n",
       "       [2.000e+00, 6.140e+02, 3.000e+00, ..., 1.930e+03, 1.300e+01,\n",
       "        4.000e+00],\n",
       "       [3.000e+00, 5.530e+02, 2.000e+00, ..., 2.981e+03, 7.000e+00,\n",
       "        1.400e+01],\n",
       "       ...,\n",
       "       [1.198e+03, 9.930e+02, 0.000e+00, ..., 1.113e+03, 1.400e+01,\n",
       "        6.000e+00],\n",
       "       [1.199e+03, 1.883e+03, 3.000e+00, ..., 2.600e+03, 1.600e+01,\n",
       "        2.000e+01],\n",
       "       [1.200e+03, 1.200e+03, 2.000e+00, ..., 3.458e+03, 7.000e+00,\n",
       "        1.100e+01]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1512.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>1838.0</td>\n",
       "      <td>3366.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>614.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>409.0</td>\n",
       "      <td>603.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>993.0</td>\n",
       "      <td>1517.0</td>\n",
       "      <td>2981.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>718.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>518.0</td>\n",
       "      <td>830.0</td>\n",
       "      <td>1754.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1166.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>603.0</td>\n",
       "      <td>3993.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0       1    2     3      4    5    6      7       8       9    10    11\n",
       "0  1.0  1512.0  1.0  54.0  134.0  3.0  2.0  220.0  1838.0  3366.0   7.0  11.0\n",
       "1  2.0   614.0  3.0  24.0   94.0  4.0  7.0  409.0   603.0  1930.0  13.0   4.0\n",
       "2  3.0   553.0  2.0  23.0  119.0  3.0  3.0  993.0  1517.0  2981.0   7.0  14.0\n",
       "3  4.0   718.0  0.0  21.0   88.0  1.0  7.0  518.0   830.0  1754.0  17.0   9.0\n",
       "4  5.0  1166.0  0.0  43.0   80.0  4.0  1.0  205.0   603.0  3993.0   7.0   7.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(newx).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.9833333333333333，10折交叉验证准确率0.9625\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "#标准化\n",
    "ss=StandardScaler()#标准化器\n",
    "snewx=ss.fit_transform(newx)\n",
    "snewvx=ss.transform(newvx)\n",
    "Svaliddatas=snewvx\n",
    "valid_labels=vy\n",
    "Straindatas=snewx\n",
    "\n",
    "train_labels=y\n",
    "#进行特征筛选后的简单测试\n",
    "k_num=10\n",
    "#使用逻辑回归\n",
    "classifier=LogisticRegression(solver=\"newton-cg\",C=95,max_iter=20)\n",
    "classifier.fit(snewx, y)\n",
    "acc = classifier.score(snewvx,vy)\n",
    "score=cross_val_score(classifier,snewx,y,cv=k_num)\n",
    "\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征筛选结束，各类模型的训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "原数据的维度：(1200, 22),经过标准化后的新数据的维度：(1200, 12)\n"
     ]
    }
   ],
   "source": [
    "#经过特征工程确定的需要删除的无关特征,进行标准化\n",
    "ss=StandardScaler()#标准化器\n",
    "#数据标准化\n",
    "ss=StandardScaler()#标准化器\n",
    "Straindatas=ss.fit_transform(newx)\n",
    "Svaliddatas=ss.transform(newvx)\n",
    "train_labels=y\n",
    "valid_labels=vy\n",
    "print('原数据的维度：{0},经过标准化后的新数据的维度：{1}'.format(train_datas.shape,Straindatas.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#学习曲线，查看对应不同训练数据量对模型的影响\n",
    "#引入数据\n",
    "\n",
    "k_num=10\n",
    "classifier=LogisticRegression(solver=\"newton-cg\",C=95,max_iter=20)\n",
    "train_size,train_acc,test_acc=learning_curve(\n",
    "    classifier,Straindatas,train_labels,cv=k_num,scoring='accuracy',#neg_mean_squared_error\n",
    "    train_sizes=np.linspace(0.1, 1.0, 15)\n",
    ")\n",
    "\n",
    "#对每次k折交叉验证的结果求平均\n",
    "#求准确率\n",
    "train_acc_mean= np.around(np.mean(train_acc,axis=1), decimals=5)\n",
    "test_acc_mean=np.around(np.mean(test_acc,axis=1), decimals=5)\n",
    "double_plot(train_size,train_acc_mean,test_acc_mean,'accuracy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#验证曲线，对应正则化参数取值对模型的影响\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "matplotlib.rcParams['font.sans-serif'] = ['SimHei']\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False\n",
    "#改变param来观察Loss函数情况\n",
    "classifier=LogisticRegression(solver=\"newton-cg\",C=95,max_iter=20)\n",
    "param_range=np.linspace(20,150,20)\n",
    "\n",
    "train_,test_=validation_curve(\n",
    "    classifier,Straindatas,train_labels,param_name='C',param_range=param_range,cv=k_num,\n",
    "    scoring='accuracy'#neg_mean_squared_error\n",
    ")\n",
    "train_mean=np.around(np.mean(train_,axis=1),decimals=5)\n",
    "test_mean=np.around(np.mean(test_,axis=1),decimals=5)\n",
    "#绘图、标题\n",
    "plt.figure(figsize=(18, 4))\n",
    "plt.title(\"\")\n",
    "# 数据\n",
    "plt.plot(param_range,train_mean,'o-',color='r',label='Training')\n",
    "plt.plot(param_range,test_mean,'o-',color='g',label='Cross-validation')\n",
    "\n",
    "# 横、纵坐标描述\n",
    "plt.xlabel('C',fontsize=16)\n",
    "plt.ylabel('accuracy',fontsize=16)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(fontsize=14)\n",
    "# 设置数字标签\n",
    "for a, b in zip(param_range, train_mean):\n",
    "    plt.text(a, b, b, ha='center', va='bottom', fontsize=10)\n",
    "for a, b in zip(param_range, test_mean):\n",
    "    plt.text(a, b, b, ha='center', va='bottom', fontsize=10)\n",
    "\n",
    "plt.legend(loc='best')\n",
    "plt.xlabel(\"正则化参数值\")\n",
    "plt.ylabel(\"平均准确率\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_list1 = []\n",
    "num_list2 = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.9833333333333333，10折交叉验证准确率0.9625\n"
     ]
    }
   ],
   "source": [
    "#使用逻辑回归\n",
    "k_num=10\n",
    "classifier=LogisticRegression(solver=\"newton-cg\",C=95,max_iter=20)\n",
    "classifier.fit(Straindatas, train_labels)\n",
    "acc = classifier.score(Svaliddatas,valid_labels)\n",
    "score=cross_val_score(classifier,Straindatas,train_labels,cv=k_num)\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))\n",
    "num_list1.append(acc)\n",
    "num_list2.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.7333333333333333，10折交叉验证准确率0.8074999999999999\n"
     ]
    }
   ],
   "source": [
    "#决策树\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "classifier=DecisionTreeClassifier(max_depth=None, min_samples_split=4,random_state=1)\n",
    "classifier.fit(Straindatas, train_labels)\n",
    "acc = classifier.score(Svaliddatas,valid_labels)\n",
    "score=cross_val_score(classifier,Straindatas,train_labels,cv=k_num)\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))\n",
    "num_list1.append(acc)\n",
    "num_list2.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.8666666666666667，10折交叉验证准确率0.8241666666666667\n"
     ]
    }
   ],
   "source": [
    "#集成学习-随机森林\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "classifier=RandomForestClassifier(n_estimators=20)\n",
    "classifier.fit(Straindatas, train_labels)\n",
    "acc = classifier.score(Svaliddatas,valid_labels)\n",
    "score=cross_val_score(classifier,Straindatas,train_labels,cv=k_num)\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))\n",
    "num_list1.append(acc)\n",
    "num_list2.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.7，10折交叉验证准确率0.6291666666666667\n"
     ]
    }
   ],
   "source": [
    "##集成学习-adaboost\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "classifier=AdaBoostClassifier(n_estimators=40)\n",
    "classifier.fit(Straindatas, train_labels)\n",
    "acc = classifier.score(Svaliddatas,valid_labels)\n",
    "score=cross_val_score(classifier,Straindatas,train_labels,cv=k_num)\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))\n",
    "num_list1.append(acc)\n",
    "num_list2.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.8066666666666666，10折交叉验证准确率0.8633333333333333\n"
     ]
    }
   ],
   "source": [
    "#梯度提升树\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "classifier=GradientBoostingClassifier(n_estimators=200, learning_rate=0.5,max_depth=4, random_state=4)\n",
    "classifier.fit(Straindatas, train_labels)\n",
    "acc = classifier.score(Svaliddatas,valid_labels)\n",
    "score=cross_val_score(classifier,Straindatas,train_labels,cv=k_num)\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))\n",
    "num_list1.append(acc)\n",
    "num_list2.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集准确率：0.8833333333333333，10折交叉验证准确率0.8808333333333334\n"
     ]
    }
   ],
   "source": [
    "#SVC\n",
    "from sklearn.svm import SVC\n",
    "classifier =SVC(gamma='auto',C=0.55) \n",
    "classifier.fit(Straindatas, train_labels)\n",
    "acc = classifier.score(Svaliddatas,valid_labels)\n",
    "score=cross_val_score(classifier,Straindatas,train_labels,cv=k_num)\n",
    "print('验证集准确率：{0}，10折交叉验证准确率{1}'.format(acc,score.mean()))\n",
    "num_list1.append(acc)\n",
    "num_list2.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x23b4a398e20>,\n",
       "  <matplotlib.axis.XTick at 0x23b4a3989a0>,\n",
       "  <matplotlib.axis.XTick at 0x23b4a389e20>,\n",
       "  <matplotlib.axis.XTick at 0x23b4a4e0b20>,\n",
       "  <matplotlib.axis.XTick at 0x23b4a37bfd0>,\n",
       "  <matplotlib.axis.XTick at 0x23b4a37b490>],\n",
       " [Text(0, 0, '逻辑回归'),\n",
       "  Text(0, 0, '决策树'),\n",
       "  Text(0, 0, '集成学习随机森林'),\n",
       "  Text(0, 0, '集成学习adaboost'),\n",
       "  Text(0, 0, '梯度提升树'),\n",
       "  Text(0, 0, 'SVC')])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x468 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置中文字体和负号正常显示\n",
    "matplotlib.rcParams['font.sans-serif'] = ['SimHei']\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False\n",
    "plt.figure(figsize=(15, 6.5))\n",
    "label_list=[\n",
    "'逻辑回归',\n",
    "'决策树',\n",
    "'集成学习随机森林',\n",
    "'集成学习adaboost',\n",
    "'梯度提升树',\n",
    "'SVC']\n",
    "# 横坐标刻度显示值\n",
    "x = range(len(num_list1))\n",
    "\"\"\"\n",
    "绘制条形图\n",
    "left:长条形中点横坐标\n",
    "height:长条形高度\n",
    "width:长条形宽度，默认值0.8\n",
    "label:为后面设置legend准备\n",
    "\"\"\"\n",
    "rects1 = plt.bar(x=x, height=num_list1, width=0.4, color='red', label=\"验证集准确率\")\n",
    "rects2 = plt.bar(x=[i + 0.5 for i in x], height=num_list2, width=0.4, color='green', label=\"交叉验证准确率\")\n",
    "\n",
    "plt.legend()     # 设置题注\n",
    "plt.ylim(0, 1)     # y轴取值范围\n",
    "plt.xlabel(\"分类算法\")\n",
    "plt.ylabel(\"准确率\")\n",
    "plt.xticks([index + 0.2 for index in x], label_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
